Literature DB >> 30553750

Rapid Next-Generation Sequencing Method for Prediction of Prostate Cancer Risks.

Viacheslav Y Fofanov1, Kinnari Upadhyay2, Alexander Pearlman2, Johnny Loke2, Vivian O2, Yongzhao Shao3, Stephen Freedland4, Harry Ostrer5.   

Abstract

Prostate cancer is the most commonly diagnosed male cancer and the second leading cause of cancer deaths among men in the United States, with approximately 220,000 new diagnoses and approximately 27,000 deaths each year. Men with clinical low-risk disease can receive active surveillance to safely preserve quality of life, provided that the risk of an undetected aggressive cancer can be managed. Thus, prediction of a tumor's metastatic potential, ideally using only a biopsy sample, is critical to choosing appropriate treatment. We previously proposed and verified a metastasis potential score (MPS) based on regions prone to copy number alterations in metastatic prostate cancer; MPS is highly predictive of metastatic potential in primary tumors. We developed a novel, targeted postligation amplification sequencing approach, which we call the next-generation copy number alteration assay, to efficiently interrogate 902 genomic sites that belong to 194 genomic regions used in the MPS calculation. The assay is designed to work with the latest generation of sequencing platforms to produce estimates of copy number alteration events. The assay's technical reproducibility, robustness to low starting genomic material, and accuracy have been verified. The assay performed very well on cell lines, a cohort of prostate cancer surgical research samples, and matched punched biopsy samples, making it a significant step toward incorporating sequencing techniques for prostate cancer evaluation.
Copyright © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30553750      PMCID: PMC6334266          DOI: 10.1016/j.jmoldx.2018.07.007

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  11 in total

1.  Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.

Authors:  Jack Cuzick; Gregory P Swanson; Gabrielle Fisher; Arthur R Brothman; Daniel M Berney; Julia E Reid; David Mesher; V O Speights; Elzbieta Stankiewicz; Christopher S Foster; Henrik Møller; Peter Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D Flake; Susanne Wagner; Alexander Gutin; Jerry S Lanchbury; Steven Stone
Journal:  Lancet Oncol       Date:  2011-03       Impact factor: 41.316

2.  DNA-Repair Defects and Olaparib in Metastatic Prostate Cancer.

Authors:  Joaquin Mateo; Suzanne Carreira; Shahneen Sandhu; Susana Miranda; Helen Mossop; Raquel Perez-Lopez; Daniel Nava Rodrigues; Dan Robinson; Aurelius Omlin; Nina Tunariu; Gunther Boysen; Nuria Porta; Penny Flohr; Alexa Gillman; Ines Figueiredo; Claire Paulding; George Seed; Suneil Jain; Christy Ralph; Andrew Protheroe; Syed Hussain; Robert Jones; Tony Elliott; Ursula McGovern; Diletta Bianchini; Jane Goodall; Zafeiris Zafeiriou; Chris T Williamson; Roberta Ferraldeschi; Ruth Riisnaes; Bernardette Ebbs; Gemma Fowler; Desamparados Roda; Wei Yuan; Yi-Mi Wu; Xuhong Cao; Rachel Brough; Helen Pemberton; Roger A'Hern; Amanda Swain; Lakshmi P Kunju; Rosalind Eeles; Gerhardt Attard; Christopher J Lord; Alan Ashworth; Mark A Rubin; Karen E Knudsen; Felix Y Feng; Arul M Chinnaiyan; Emma Hall; Johann S de Bono
Journal:  N Engl J Med       Date:  2015-10-29       Impact factor: 91.245

3.  A Biopsy-based 17-gene Genomic Prostate Score Predicts Recurrence After Radical Prostatectomy and Adverse Surgical Pathology in a Racially Diverse Population of Men with Clinically Low- and Intermediate-risk Prostate Cancer.

Authors:  Jennifer Cullen; Inger L Rosner; Timothy C Brand; Nan Zhang; Athanasios C Tsiatis; Joel Moncur; Amina Ali; Yongmei Chen; Dejan Knezevic; Tara Maddala; H Jeffrey Lawrence; Phillip G Febbo; Shiv Srivastava; Isabell A Sesterhenn; David G McLeod
Journal:  Eur Urol       Date:  2014-11-29       Impact factor: 20.096

4.  Clustering-Based Method for Developing a Genomic Copy Number Alteration Signature for Predicting the Metastatic Potential of Prostate Cancer.

Authors:  Alexander Pearlman; Christopher Campbell; Eric Brooks; Alex Genshaft; Shahin Shajahan; Michael Ittman; G Steven Bova; Jonathan Melamed; Ilona Holcomb; Robert J Schneider; Harry Ostrer
Journal:  J Probab Stat       Date:  2012

Review 5.  Genomic Predictors of Outcome in Prostate Cancer.

Authors:  Peter J Boström; Anders S Bjartell; James W F Catto; Scott E Eggener; Hans Lilja; Stacy Loeb; Jack Schalken; Thorsten Schlomm; Matthew R Cooperberg
Journal:  Eur Urol       Date:  2015-04-23       Impact factor: 20.096

6.  The sequence read archive.

Authors:  Rasko Leinonen; Hideaki Sugawara; Martin Shumway
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

7.  Cross-laboratory validation of the OncoScan® FFPE Assay, a multiplex tool for whole genome tumour profiling.

Authors:  Joseph M Foster; Assa Oumie; Fiona S Togneri; Fabiana Ramos Vasques; Debra Hau; Morag Taylor; Emma Tinkler-Hundal; Katie Southward; Paul Medlow; Keith McGreeghan-Crosby; Iris Halfpenny; Dominic J McMullan; Phil Quirke; Katherine E Keating; Mike Griffiths; Karen G Spink; Fiona Brew
Journal:  BMC Med Genomics       Date:  2015-02-18       Impact factor: 3.063

8.  A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling.

Authors:  Eric A Klein; Matthew R Cooperberg; Cristina Magi-Galluzzi; Jeffry P Simko; Sara M Falzarano; Tara Maddala; June M Chan; Jianbo Li; Janet E Cowan; Athanasios C Tsiatis; Diana B Cherbavaz; Robert J Pelham; Imelda Tenggara-Hunter; Frederick L Baehner; Dejan Knezevic; Phillip G Febbo; Steven Shak; Michael W Kattan; Mark Lee; Peter R Carroll
Journal:  Eur Urol       Date:  2014-05-16       Impact factor: 20.096

9.  Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy.

Authors:  Robert B Den; Felix Y Feng; Timothy N Showalter; Mark V Mishra; Edouard J Trabulsi; Costas D Lallas; Leonard G Gomella; W Kevin Kelly; Ruth C Birbe; Peter A McCue; Mercedeh Ghadessi; Kasra Yousefi; Elai Davicioni; Karen E Knudsen; Adam P Dicker
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-08       Impact factor: 7.038

10.  Robust genomic copy number predictor of pan cancer metastasis.

Authors:  Alexander Pearlman; Kinnari Upadhyay; Kim Cole; John Loke; Katherine Sun; Susan Fineberg; Stephen J Freedland; Yongzhao Shao; Harry Ostrer
Journal:  Genes Cancer       Date:  2018-01
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